用户级细分
超越聚合数据。分析特定细分市场的趋势和个人玩家行为，以优化游戏的性能。
You shouldn’t need to write SQL to access deeper player insights
Many studios have the data but not always the time, expertise, or resources to dig into it. With User Analysis, you can bridge that gap.
No technical expertise or custom queries needed. Analyze player-level data with an intuitive interface.
No complex setup, with unlimited querying. Instantly tap into your existing GA data.
No need to build or maintain your own tools with a plug-and-play solution.
Segment players by in-game behavior
Pinpoint how different player types engage with your game. Create segments for first-time players, those who’ve played bots, players who’ve bought more than five skins - or any behavior that matters to your design.
Understand retention and churn drivers
Find out what keeps players coming back or causes them to churn. Explore the in-game actions tied to higher retention, and uncover patterns in churned players to help you predict and prevent drop-off.
更深入地研究玩家细分
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Dig deeper into in-game events
Map key in-game events and behaviors to player outcomes and game improvements. Explore user journeys, track specific progression events, and analyze what happens before or after critical actions are triggered.
Identify high-value players
Recognize and nurture your top players for sustained engagement and revenue. Identify patterns in player-modes, high LTV, daily mission completion, and other top engagement indicators that boost your game’s overall performance.
SegmentIQ is a lot easier to use than anything else we've seen so far - and it’s already generating real value without needing a full-time Data Engineer to manage it.
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Alireza Khorshidi
Product Manager
,
Baloot Games
Baloot Games: Unlocking detailed player insights with User Analysis
Discover how Baloot Games leveraged User Analysis, the new user-level segmentation tool from GameAnalytics, to unlock powerful user segmentation and behavioral insights, optimizing retention, balancing game mechanics, and driving faster design decisions. With flexible segmentation, real-time exploration, and zero SQL required, they turned raw player data into smarter game design and faster iteration.
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"Normally we take a look at averages, like what's the average churn of players reaching level three. But once you get to user level data, it tells you a lot more about what's really happening in the game."
Ufuk Yildrim
CEO, The Game Circle
Prefer to hear straight from a studio?
Listen to Alireza from Baloot Games as he explains how they use User Analysis to dive deep into their player data, build custom segments, and uncover what truly keeps their players engaged.
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